Neural Network Based Models for the Control of Hydro Cascade System
Publish place: 15th International Power System Conference
Publish Year: 1378
Type: Conference paper
Language: English
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PSC15_003
Index date: 23 September 2007
Neural Network Based Models for the Control of Hydro Cascade System abstract
In the paper, the issue of hydro cascade system scheduling is addressed. A number of techniques for hydro power plants modelling are discussed and a detailed comparison of various models is given. First, a detailed simulation model of a generic hydro power plant is
presented. Although computationally very demanding, it produces perfectly accurate results therefore it can be used as a reference To describe the operation of a hydro power plant, relation between the power generation and water discharge has to be known. Traditional approach to finding this relation is to utilise polynomial function. To obtain better performance, new models based on neural networks are developed Finally, individual hydro power plant models are connected together to represent the operation of the whole cascade system. The developed models are tested for a hydro cascade system on the Soca river and some results are given.
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Neural Network Based Models for the Control of Hydro Cascade System authors
Stokelj
Faculty of Electrical Enginering University of LjubIjana Ljubljana Slovenia
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